Job Description

Work From Office

What We Offer:

Canteen Subsidy Night Shift allowance as per process Health Insurance Tuition Reimbursement Work-Life Balance Initiatives Rewards & Recognition

Role Overview:

We are seeking an experienced

Data Engineer

with strong expertise in

Google BigQuery, Dataform, and modern data pipelines

. The ideal candidate will design, develop, and maintain scalable data models, ETL/ELT processes, and analytics-ready datasets to support our reporting, analytics, and business intelligence use cases.

Key Responsibilities

Data Engineering & Pipeline Development

Design and build

scalable, high-performance ELT pipelines

using

Dataform

on BigQuery. Develop and optimize

SQLX models

, incremental pipelines, and data transformations. Implement

data quality checks, assertions, and validation frameworks

within Dataform. Manage pipeline orchestration, scheduling, CI/CD, and environment configurations. Build and maintain

dimensional models

(Star/Snowflake schema) for analytics and reporting.

BigQuery Development & Optimization

Create, optimize, and maintain

BigQuery datasets, tables, views, partitions, clusters, and materialized views

. Optimize query performance, reduce cost, and manage slot utilization. Implement best practices for

data governance, security, and access control

. Work with large-scale datasets and ensure efficient processing.

Monitoring & Maintenance

Monitor pipeline performance, identify bottlenecks, and resolve issues proactively. Ensure

high data availability, reliability, and accuracy

across systems.

Required Skills & Qualifications

Technical Skills

5+ years of experience as a Data Engineer or similar role. Strong hands-on expertise with Google BigQuery (mandatory). Deep knowledge of Dataform (or DBT experience, with Dataform adoption). Proficiency in SQL (advanced-level query optimization, analytics functions, modeling). Experience with ELT/ETL architecture, data modeling (Star, Snowflake). Hands-on with GCP services like Cloud Storage, Cloud Composer, IAM, Cloud Functions (good to have). Experience building incremental data pipelines and managing dependencies. Familiarity with Git, CI/CD workflows, and version-controlled development. Good understanding of data warehousing concepts and best practices.

Soft Skills

Strong analytical & problem solving skills. Ability to manage multiple tasks in an agile environment. Excellent communication and documentation skills. Self-driven and able to work with minimal supervision.

To apply for this job

email your details to

priya.mittal@etechtexas.com

Job Title

Senior Data Engineer

Department

Software Development

Reports to

Lead Developer

Pay Grade

13 - 16 LPA

Location

Gandhinagar

Job Type

WFO/Hybrid

Schedule & Shift

UK/US Shift (Flexibility is required per Business/Client requirements)